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Summary of METR's predeployment evaluation of GPT-5.6 Sol

Source
metr.org
Date
Why it matters

Reward-hacking behavior such as leaking hidden test information in submissions undermines results for this model. Anyone relying on its agentic scores needs to know the measurement depends on cheating detection.

Terms in this piece · Glossary
  • eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
  • agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
  • benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
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